Overview

Brought to you by YData

Dataset statistics

Number of variables	28
Number of observations	186
Missing cells	130
Missing cells (%)	2.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	40.8 KiB
Average record size in memory	224.7 B

Variable types

Numeric	7
Categorical	18
Text	3

Alerts

`Degree` is highly overall correlated with `Subject`	High correlation
`Favorite_Subject_12` is highly overall correlated with `Marks_10`	High correlation
`Gender` is highly overall correlated with `df_index`	High correlation
`Marks_10` is highly overall correlated with `Favorite_Subject_12`	High correlation
`Marks_12` is highly overall correlated with `Percent_12`	High correlation
`Percent_12` is highly overall correlated with `Marks_12`	High correlation
`Subject` is highly overall correlated with `Degree`	High correlation
`df_index` is highly overall correlated with `Gender`	High correlation
`Subject` has 20 (10.8%) missing values	Missing
`Favorite_Subject_10` has 3 (1.6%) missing values	Missing
`Marks_10` has 11 (5.9%) missing values	Missing
`Favorite_Subject_12` has 12 (6.5%) missing values	Missing
`Marks_12` has 12 (6.5%) missing values	Missing
`co-curricular activity` has 28 (15.1%) missing values	Missing
`Expected_salary` has 13 (7.0%) missing values	Missing
`Spending` has 30 (16.1%) missing values	Missing
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`CGPA` has 24 (12.9%) zeros	Zeros
`Age` has 10 (5.4%) zeros	Zeros

Reproduction

Analysis started	2025-09-06 07:51:36.059834
Analysis finished	2025-09-06 07:51:45.787143
Duration	9.73 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

df_index
Real number (ℝ)

High correlation Uniform Unique

Distinct	186
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.198925

Minimum	0
Maximum	191
Zeros	1
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	0
5-th percentile	9.25
Q1	47.25
median	94.5
Q3	142.75
95-th percentile	181.75
Maximum	191
Range	191
Interquartile range (IQR)	95.5

Descriptive statistics

Standard deviation	55.800787
Coefficient of variation (CV)	0.58614934
Kurtosis	-1.200575
Mean	95.198925
Median Absolute Deviation (MAD)	48
Skewness	0.01080067
Sum	17707
Variance	3113.7278
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.5%
1	1	0.5%
2	1	0.5%
3	1	0.5%
4	1	0.5%
5	1	0.5%
6	1	0.5%
7	1	0.5%
8	1	0.5%
9	1	0.5%
Other values (176)	176	94.6%

Value	Count	Frequency (%)
0	1	0.5%
1	1	0.5%
2	1	0.5%
3	1	0.5%
4	1	0.5%
5	1	0.5%
6	1	0.5%
7	1	0.5%
8	1	0.5%
9	1	0.5%

Value	Count	Frequency (%)
191	1	0.5%
190	1	0.5%
189	1	0.5%
188	1	0.5%
187	1	0.5%
186	1	0.5%
185	1	0.5%
184	1	0.5%
183	1	0.5%
182	1	0.5%

Age Group
Categorical

Distinct	3
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

18 - 20	91
20 - 22	86
22 - 25	9

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	1302
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	18 - 20
2nd row	20 - 22
3rd row	18 - 20
4th row	18 - 20
5th row	20 - 22

Common Values

Value	Count	Frequency (%)
18 - 20	91	48.9%
20 - 22	86	46.2%
22 - 25	9	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	186	33.3%
20	177	31.7%
22	95	17.0%
18	91	16.3%
25	9	1.6%

Most occurring characters

Value	Count	Frequency (%)
2	376	28.9%
	372	28.6%
-	186	14.3%
0	177	13.6%
1	91	7.0%
8	91	7.0%
5	9	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1302	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	376	28.9%
	372	28.6%
-	186	14.3%
0	177	13.6%
1	91	7.0%
8	91	7.0%
5	9	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1302	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	376	28.9%
	372	28.6%
-	186	14.3%
0	177	13.6%
1	91	7.0%
8	91	7.0%
5	9	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1302	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	376	28.9%
	372	28.6%
-	186	14.3%
0	177	13.6%
1	91	7.0%
8	91	7.0%
5	9	0.7%

Gender
Categorical

High correlation

Distinct	3
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

f	95
m	90
o	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	f
2nd row	f
3rd row	f
4th row	f
5th row	f

Common Values

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	95	51.1%
m	90	48.4%
o	1	0.5%

College Name
Text

Distinct	59
Distinct (%)	31.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	64
Median length	52
Mean length	27.698925
Min length	6

Characters and Unicode

Total characters	5152
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	14.5%

Sample

1st row	institute of engineering and management
2nd row	institute of engineering and management
3rd row	asutosh college
4th row	sister nivedita university
5th row	sister nivedita university

Value	Count	Frequency (%)
university	80	12.2%
college	69	10.6%
of	38	5.8%
engineering	28	4.3%
sister	27	4.1%
nivedita	26	4.0%
and	26	4.0%
st	24	3.7%
management	22	3.4%
institute	21	3.2%
Other values (116)	293	44.8%

Most occurring characters

Value	Count	Frequency (%)
e	584	11.3%
i	507	9.8%
	468	9.1%
n	451	8.8%
a	408	7.9%
t	381	7.4%
s	324	6.3%
r	273	5.3%
o	217	4.2%
l	207	4.0%
Other values (18)	1332	25.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5152	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	584	11.3%
i	507	9.8%
	468	9.1%
n	451	8.8%
a	408	7.9%
t	381	7.4%
s	324	6.3%
r	273	5.3%
o	217	4.2%
l	207	4.0%
Other values (18)	1332	25.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5152	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	584	11.3%
i	507	9.8%
	468	9.1%
n	451	8.8%
a	408	7.9%
t	381	7.4%
s	324	6.3%
r	273	5.3%
o	217	4.2%
l	207	4.0%
Other values (18)	1332	25.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5152	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	584	11.3%
i	507	9.8%
	468	9.1%
n	451	8.8%
a	408	7.9%
t	381	7.4%
s	324	6.3%
r	273	5.3%
o	217	4.2%
l	207	4.0%
Other values (18)	1332	25.9%

Degree
Categorical

High correlation

Distinct	16
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

b.sc / bs	59
b tech.	40
ba	27
b com.	16
bba	12
Other values (11)	32

Length

Max length	9
Median length	8
Mean length	6.0107527
Min length	2

Characters and Unicode

Total characters	1118
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	1.6%

Sample

1st row	bba
2nd row	bba
3rd row	b.sc / bs
4th row	ba
5th row	msc / ms

Common Values

Value	Count	Frequency (%)
b.sc / bs	59	31.7%
b tech.	40	21.5%
ba	27	14.5%
b com.	16	8.6%
bba	12	6.5%
llb	11	5.9%
ma	4	2.2%
msc / ms	4	2.2%
m com.	2	1.1%
bds	2	1.1%
Other values (6)	9	4.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	63	17.0%
b.sc	59	15.9%
bs	59	15.9%
b	56	15.1%
tech	40	10.8%
ba	27	7.3%
com	18	4.9%
bba	12	3.2%
llb	11	3.0%
ma	4	1.1%
Other values (10)	21	5.7%

Most occurring characters

Value	Count	Frequency (%)
b	247	22.1%
	184	16.5%
s	133	11.9%
c	123	11.0%
.	117	10.5%
/	63	5.6%
a	48	4.3%
t	41	3.7%
e	41	3.7%
h	40	3.6%
Other values (6)	81	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
b	247	22.1%
	184	16.5%
s	133	11.9%
c	123	11.0%
.	117	10.5%
/	63	5.6%
a	48	4.3%
t	41	3.7%
e	41	3.7%
h	40	3.6%
Other values (6)	81	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
b	247	22.1%
	184	16.5%
s	133	11.9%
c	123	11.0%
.	117	10.5%
/	63	5.6%
a	48	4.3%
t	41	3.7%
e	41	3.7%
h	40	3.6%
Other values (6)	81	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
b	247	22.1%
	184	16.5%
s	133	11.9%
c	123	11.0%
.	117	10.5%
/	63	5.6%
a	48	4.3%
t	41	3.7%
e	41	3.7%
h	40	3.6%
Other values (6)	81	7.2%

Subject
Categorical

High correlation Missing

Distinct	45
Distinct (%)	27.1%
Missing	20
Missing (%)	10.8%
Memory size	1.6 KiB

statistics	28
english	22
computer science engineering	15
accountancy	10
mathematics	8
Other values (40)	83

Length

Max length	63
Median length	36
Mean length	14.325301
Min length	7

Characters and Unicode

Total characters	2378
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	14.5%

Sample

1st row	analytics
2nd row	finance
3rd row	statistics
4th row	political science
5th row	psychology

Common Values

Value	Count	Frequency (%)
statistics	28	15.1%
english	22	11.8%
computer science engineering	15	8.1%
accountancy	10	5.4%
mathematics	8	4.3%
finance	7	3.8%
microbiology	6	3.2%
life sciences	5	2.7%
psychology	5	2.7%
economics	4	2.2%
Other values (35)	56	30.1%
(Missing)	20	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
statistics	28	10.5%
science	27	10.2%
english	22	8.3%
computer	21	7.9%
engineering	20	7.5%
accountancy	10	3.8%
and	9	3.4%
mathematics	8	3.0%
finance	7	2.6%
microbiology	6	2.3%
Other values (54)	108	40.6%

Most occurring characters

Value	Count	Frequency (%)
i	263	11.1%
e	252	10.6%
c	233	9.8%
n	230	9.7%
s	197	8.3%
t	195	8.2%
a	147	6.2%
o	138	5.8%
	103	4.3%
g	103	4.3%
Other values (16)	517	21.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	263	11.1%
e	252	10.6%
c	233	9.8%
n	230	9.7%
s	197	8.3%
t	195	8.2%
a	147	6.2%
o	138	5.8%
	103	4.3%
g	103	4.3%
Other values (16)	517	21.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	263	11.1%
e	252	10.6%
c	233	9.8%
n	230	9.7%
s	197	8.3%
t	195	8.2%
a	147	6.2%
o	138	5.8%
	103	4.3%
g	103	4.3%
Other values (16)	517	21.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	263	11.1%
e	252	10.6%
c	233	9.8%
n	230	9.7%
s	197	8.3%
t	195	8.2%
a	147	6.2%
o	138	5.8%
	103	4.3%
g	103	4.3%
Other values (16)	517	21.7%

Percent_10
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

95.0	85
85.0	67
75.0	21
65.0	8
55.0	5

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	744
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	85.0
2nd row	85.0
3rd row	85.0
4th row	95.0
5th row	65.0

Common Values

Value	Count	Frequency (%)
95.0	85	45.7%
85.0	67	36.0%
75.0	21	11.3%
65.0	8	4.3%
55.0	5	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
95.0	85	45.7%
85.0	67	36.0%
75.0	21	11.3%
65.0	8	4.3%
55.0	5	2.7%

Most occurring characters

Value	Count	Frequency (%)
5	191	25.7%
.	186	25.0%
0	186	25.0%
9	85	11.4%
8	67	9.0%
7	21	2.8%
6	8	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	191	25.7%
.	186	25.0%
0	186	25.0%
9	85	11.4%
8	67	9.0%
7	21	2.8%
6	8	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	191	25.7%
.	186	25.0%
0	186	25.0%
9	85	11.4%
8	67	9.0%
7	21	2.8%
6	8	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	191	25.7%
.	186	25.0%
0	186	25.0%
9	85	11.4%
8	67	9.0%
7	21	2.8%
6	8	1.1%

Favorite_Subject_10
Categorical

Missing

Distinct	34
Distinct (%)	18.6%
Missing	3
Missing (%)	1.6%
Memory size	1.6 KiB

mathematics	49
english	30
biology	17
geography	12
maths	12
Other values (29)	63

Length

Max length	21
Median length	20
Mean length	8.5191257
Min length	3

Characters and Unicode

Total characters	1559
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	9.3%

Sample

1st row	biology
2nd row	mathematics
3rd row	mathematics
4th row	socialscience
5th row	maths

Common Values

Value	Count	Frequency (%)
mathematics	49	26.3%
english	30	16.1%
biology	17	9.1%
geography	12	6.5%
maths	12	6.5%
science	11	5.9%
history	7	3.8%
computer	4	2.2%
bengali	4	2.2%
physics	4	2.2%
Other values (24)	33	17.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mathematics	50	27.3%
english	30	16.4%
biology	17	9.3%
geography	13	7.1%
maths	12	6.6%
science	12	6.6%
history	8	4.4%
physics	5	2.7%
computer	4	2.2%
bengali	4	2.2%
Other values (18)	28	15.3%

Most occurring characters

Value	Count	Frequency (%)
i	156	10.0%
e	153	9.8%
s	145	9.3%
a	143	9.2%
t	141	9.0%
m	134	8.6%
h	125	8.0%
c	121	7.8%
o	82	5.3%
g	79	5.1%
Other values (12)	280	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1559	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	156	10.0%
e	153	9.8%
s	145	9.3%
a	143	9.2%
t	141	9.0%
m	134	8.6%
h	125	8.0%
c	121	7.8%
o	82	5.3%
g	79	5.1%
Other values (12)	280	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1559	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	156	10.0%
e	153	9.8%
s	145	9.3%
a	143	9.2%
t	141	9.0%
m	134	8.6%
h	125	8.0%
c	121	7.8%
o	82	5.3%
g	79	5.1%
Other values (12)	280	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1559	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	156	10.0%
e	153	9.8%
s	145	9.3%
a	143	9.2%
t	141	9.0%
m	134	8.6%
h	125	8.0%
c	121	7.8%
o	82	5.3%
g	79	5.1%
Other values (12)	280	18.0%

Marks_10
Real number (ℝ)

High correlation Missing

Distinct	30
Distinct (%)	17.1%
Missing	11
Missing (%)	5.9%
Infinite	0
Infinite (%)	0.0%
Mean	90.88

Minimum	3
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	3
5-th percentile	75.7
Q1	87
median	94
Q3	97
95-th percentile	100
Maximum	100
Range	97
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	10.57553
Coefficient of variation (CV)	0.11636807
Kurtosis	27.671196
Mean	90.88
Median Absolute Deviation (MAD)	4
Skewness	-4.0548706
Sum	15904
Variance	111.84184
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
97	18	9.7%
96	18	9.7%
98	14	7.5%
85	13	7.0%
95	12	6.5%
100	12	6.5%
99	11	5.9%
94	10	5.4%
90	8	4.3%
91	7	3.8%
Other values (20)	52	28.0%
(Missing)	11	5.9%

Value	Count	Frequency (%)
3	1	0.5%
56	1	0.5%
57	1	0.5%
60	1	0.5%
68	1	0.5%
70	2	1.1%
75	2	1.1%
76	1	0.5%
78	1	0.5%
79	1	0.5%

Value	Count	Frequency (%)
100	12	6.5%
99	11	5.9%
98	14	7.5%
97	18	9.7%
96	18	9.7%
95	12	6.5%
94	10	5.4%
93	4	2.2%
92	7	3.8%
91	7	3.8%

Percent_12
Categorical

High correlation

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

85.0	79
95.0	65
75.0	34
65.0	6
55.0	2

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	744
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	75.0
2nd row	75.0
3rd row	85.0
4th row	85.0
5th row	65.0

Common Values

Value	Count	Frequency (%)
85.0	79	42.5%
95.0	65	34.9%
75.0	34	18.3%
65.0	6	3.2%
55.0	2	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
85.0	79	42.5%
95.0	65	34.9%
75.0	34	18.3%
65.0	6	3.2%
55.0	2	1.1%

Most occurring characters

Value	Count	Frequency (%)
5	188	25.3%
.	186	25.0%
0	186	25.0%
8	79	10.6%
9	65	8.7%
7	34	4.6%
6	6	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	188	25.3%
.	186	25.0%
0	186	25.0%
8	79	10.6%
9	65	8.7%
7	34	4.6%
6	6	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	188	25.3%
.	186	25.0%
0	186	25.0%
8	79	10.6%
9	65	8.7%
7	34	4.6%
6	6	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	744	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	188	25.3%
.	186	25.0%
0	186	25.0%
8	79	10.6%
9	65	8.7%
7	34	4.6%
6	6	0.8%

Favorite_Subject_12
Categorical

High correlation Missing

Distinct	34
Distinct (%)	19.5%
Missing	12
Missing (%)	6.5%
Memory size	1.6 KiB

mathematics	37
english	29
biology	22
economics	10
maths	7
Other values (29)	69

Length

Max length	20
Median length	19
Mean length	9.1321839
Min length	3

Characters and Unicode

Total characters	1589
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	6.9%

Sample

1st row	biology
2nd row	economics
3rd row	mathematics
4th row	politicalscience
5th row	accounts

Common Values

Value	Count	Frequency (%)
mathematics	37	19.9%
english	29	15.6%
biology	22	11.8%
economics	10	5.4%
maths	7	3.8%
chemistry	6	3.2%
psychology	6	3.2%
physics	6	3.2%
computerscience	6	3.2%
politicalscience	4	2.2%
Other values (24)	41	22.0%
(Missing)	12	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mathematics	37	21.3%
english	29	16.7%
biology	22	12.6%
economics	10	5.7%
maths	7	4.0%
chemistry	6	3.4%
psychology	6	3.4%
physics	6	3.4%
computerscience	6	3.4%
politicalscience	4	2.3%
Other values (24)	41	23.6%

Most occurring characters

Value	Count	Frequency (%)
i	158	9.9%
s	152	9.6%
c	146	9.2%
t	139	8.7%
e	136	8.6%
o	123	7.7%
m	118	7.4%
a	117	7.4%
h	99	6.2%
l	75	4.7%
Other values (9)	326	20.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1589	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	158	9.9%
s	152	9.6%
c	146	9.2%
t	139	8.7%
e	136	8.6%
o	123	7.7%
m	118	7.4%
a	117	7.4%
h	99	6.2%
l	75	4.7%
Other values (9)	326	20.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1589	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	158	9.9%
s	152	9.6%
c	146	9.2%
t	139	8.7%
e	136	8.6%
o	123	7.7%
m	118	7.4%
a	117	7.4%
h	99	6.2%
l	75	4.7%
Other values (9)	326	20.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1589	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	158	9.9%
s	152	9.6%
c	146	9.2%
t	139	8.7%
e	136	8.6%
o	123	7.7%
m	118	7.4%
a	117	7.4%
h	99	6.2%
l	75	4.7%
Other values (9)	326	20.5%

Marks_12
Real number (ℝ)

High correlation Missing

Distinct	28
Distinct (%)	16.1%
Missing	12
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	90.057471

Minimum	63
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	63
5-th percentile	73.3
Q1	85
median	92
Q3	96.75
95-th percentile	100
Maximum	100
Range	37
Interquartile range (IQR)	11.75

Descriptive statistics

Standard deviation	8.4022517
Coefficient of variation (CV)	0.093298775
Kurtosis	0.85401624
Mean	90.057471
Median Absolute Deviation (MAD)	6
Skewness	-1.0469936
Sum	15670
Variance	70.597834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
100	17	9.1%
96	13	7.0%
85	12	6.5%
92	12	6.5%
95	11	5.9%
80	10	5.4%
99	10	5.4%
97	9	4.8%
90	9	4.8%
86	8	4.3%
Other values (18)	63	33.9%
(Missing)	12	6.5%

Value	Count	Frequency (%)
63	1	0.5%
64	1	0.5%
65	2	1.1%
68	1	0.5%
70	1	0.5%
72	3	1.6%
74	1	0.5%
75	4	2.2%
77	1	0.5%
80	10	5.4%

Value	Count	Frequency (%)
100	17	9.1%
99	10	5.4%
98	8	4.3%
97	9	4.8%
96	13	7.0%
95	11	5.9%
94	5	2.7%
93	6	3.2%
92	12	6.5%
91	4	2.2%

CGPA
Real number (ℝ)

Zeros

Distinct	9
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3709677

Minimum	0
Maximum	10
Zeros	24
Zeros (%)	12.9%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	6
median	7
Q3	8
95-th percentile	9
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.696748
Coefficient of variation (CV)	0.42328703
Kurtosis	1.4072846
Mean	6.3709677
Median Absolute Deviation (MAD)	1
Skewness	-1.5757825
Sum	1185
Variance	7.2724499
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	59	31.7%
8	42	22.6%
6	30	16.1%
9	24	12.9%
0	24	12.9%
5	3	1.6%
10	2	1.1%
4	1	0.5%
1	1	0.5%

Value	Count	Frequency (%)
0	24	12.9%
1	1	0.5%
4	1	0.5%
5	3	1.6%
6	30	16.1%
7	59	31.7%
8	42	22.6%
9	24	12.9%
10	2	1.1%

Value	Count	Frequency (%)
10	2	1.1%
9	24	12.9%
8	42	22.6%
7	59	31.7%
6	30	16.1%
5	3	1.6%
4	1	0.5%
1	1	0.5%
0	24	12.9%

co-curricular activity
Text

Missing

Distinct	98
Distinct (%)	62.0%
Missing	28
Missing (%)	15.1%
Memory size	1.6 KiB

Length

Max length	69
Median length	46.5
Mean length	13.512658
Min length	2

Characters and Unicode

Total characters	2135
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	54.4%

Sample

1st row	no
2nd row	content writing
3rd row	dance
4th row	not right now
5th row	no

Value	Count	Frequency (%)
no	31	9.3%
dance	22	6.6%
football	14	4.2%
yes	13	3.9%
singing	11	3.3%
	11	3.3%
painting	9	2.7%
and	9	2.7%
dancing	8	2.4%
music	7	2.1%
Other values (131)	198	59.5%

Most occurring characters

Value	Count	Frequency (%)
	234	11.0%
n	215	10.1%
a	191	8.9%
i	174	8.1%
e	140	6.6%
t	138	6.5%
o	130	6.1%
g	100	4.7%
s	98	4.6%
c	96	4.5%
Other values (26)	619	29.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2135	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	234	11.0%
n	215	10.1%
a	191	8.9%
i	174	8.1%
e	140	6.6%
t	138	6.5%
o	130	6.1%
g	100	4.7%
s	98	4.6%
c	96	4.5%
Other values (26)	619	29.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2135	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	234	11.0%
n	215	10.1%
a	191	8.9%
i	174	8.1%
e	140	6.6%
t	138	6.5%
o	130	6.1%
g	100	4.7%
s	98	4.6%
c	96	4.5%
Other values (26)	619	29.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2135	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	234	11.0%
n	215	10.1%
a	191	8.9%
i	174	8.1%
e	140	6.6%
t	138	6.5%
o	130	6.1%
g	100	4.7%
s	98	4.6%
c	96	4.5%
Other values (26)	619	29.0%

profession
Text

Distinct	63
Distinct (%)	33.9%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	38
Median length	27
Mean length	14.247312
Min length	2

Characters and Unicode

Total characters	2650
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	23.1%

Sample

1st row	data analyst
2nd row	financial services
3rd row	chartered accountant
4th row	entrepreneurship
5th row	chartered accountant

Value	Count	Frequency (%)
entrepreneurship	29	10.3%
researcher	20	7.1%
accountant	16	5.7%
chartered	14	5.0%
analyst	14	5.0%
data	13	4.6%
professor	13	4.6%
engineer	12	4.3%
software	11	3.9%
development	11	3.9%
Other values (77)	128	45.6%

Most occurring characters

Value	Count	Frequency (%)
e	405	15.3%
r	284	10.7%
n	228	8.6%
a	214	8.1%
t	201	7.6%
i	162	6.1%
s	160	6.0%
c	134	5.1%
o	125	4.7%
	98	3.7%
Other values (15)	639	24.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2650	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	405	15.3%
r	284	10.7%
n	228	8.6%
a	214	8.1%
t	201	7.6%
i	162	6.1%
s	160	6.0%
c	134	5.1%
o	125	4.7%
	98	3.7%
Other values (15)	639	24.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2650	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	405	15.3%
r	284	10.7%
n	228	8.6%
a	214	8.1%
t	201	7.6%
i	162	6.1%
s	160	6.0%
c	134	5.1%
o	125	4.7%
	98	3.7%
Other values (15)	639	24.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2650	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	405	15.3%
r	284	10.7%
n	228	8.6%
a	214	8.1%
t	201	7.6%
i	162	6.1%
s	160	6.0%
c	134	5.1%
o	125	4.7%
	98	3.7%
Other values (15)	639	24.1%

preffed sector
Categorical

Distinct	13
Distinct (%)	7.0%
Missing	1
Missing (%)	0.5%
Memory size	1.6 KiB

corporate/private sector	63
it secrtor	49
government/public sector	41
undecided	14
academia/education	8
Other values (8)	10

Length

Max length	24
Median length	24
Mean length	18.183784
Min length	4

Characters and Unicode

Total characters	3364
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	3.8%

Sample

1st row	government/public sector
2nd row	undecided
3rd row	corporate/private sector
4th row	it secrtor
5th row	n.q.

Common Values

Value	Count	Frequency (%)
corporate/private sector	63	33.9%
it secrtor	49	26.3%
government/public sector	41	22.0%
undecided	14	7.5%
academia/education	8	4.3%
others	3	1.6%
n.q.	1	0.5%
adminstative sector	1	0.5%
healthcare sector	1	0.5%
judiciary	1	0.5%
Other values (3)	3	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	108	31.5%
corporate/private	63	18.4%
it	49	14.3%
secrtor	49	14.3%
government/public	41	12.0%
undecided	14	4.1%
academia/education	8	2.3%
others	3	0.9%
n.q	1	0.3%
adminstative	1	0.3%
Other values (6)	6	1.7%

Most occurring characters

Value	Count	Frequency (%)
r	443	13.2%
e	418	12.4%
t	390	11.6%
o	337	10.0%
c	294	8.7%
i	189	5.6%
p	168	5.0%
a	164	4.9%
s	164	4.9%
	159	4.7%
Other values (15)	638	19.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3364	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	443	13.2%
e	418	12.4%
t	390	11.6%
o	337	10.0%
c	294	8.7%
i	189	5.6%
p	168	5.0%
a	164	4.9%
s	164	4.9%
	159	4.7%
Other values (15)	638	19.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3364	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	443	13.2%
e	418	12.4%
t	390	11.6%
o	337	10.0%
c	294	8.7%
i	189	5.6%
p	168	5.0%
a	164	4.9%
s	164	4.9%
	159	4.7%
Other values (15)	638	19.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3364	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	443	13.2%
e	418	12.4%
t	390	11.6%
o	337	10.0%
c	294	8.7%
i	189	5.6%
p	168	5.0%
a	164	4.9%
s	164	4.9%
	159	4.7%
Other values (15)	638	19.0%

Expected_salary
Real number (ℝ)

Missing

Distinct	55
Distinct (%)	31.8%
Missing	13
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.414624

Minimum	0.03
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	0.03
5-th percentile	1
Q1	4
median	6.5
Q3	11
95-th percentile	21.2
Maximum	200
Range	199.97
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	18.263995
Coefficient of variation (CV)	1.7536874
Kurtosis	69.858605
Mean	10.414624
Median Absolute Deviation (MAD)	3.5
Skewness	7.4507213
Sum	1801.73
Variance	333.57353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	14	7.5%
5	10	5.4%
12	10	5.4%
6	9	4.8%
8	9	4.8%
4	9	4.8%
15	9	4.8%
5.5	8	4.3%
9	7	3.8%
4.5	6	3.2%
Other values (45)	82	44.1%
(Missing)	13	7.0%

Value	Count	Frequency (%)
0.03	1	0.5%
0.23	1	0.5%
0.5	4	2.2%
0.75	1	0.5%
0.88	1	0.5%
1	4	2.2%
1.2	1	0.5%
1.5	1	0.5%
1.8	2	1.1%
2	6	3.2%

Value	Count	Frequency (%)
200	1	0.5%
80	1	0.5%
72	1	0.5%
65	1	0.5%
60	1	0.5%
50	1	0.5%
30	1	0.5%
24	1	0.5%
23	1	0.5%
20	4	2.2%

Age
Real number (ℝ)

Zeros

Distinct	26
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.801075

Minimum	0
Maximum	58
Zeros	10
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4.75
Q1	25
median	26
Q3	30
95-th percentile	34.5
Maximum	58
Range	58
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	7.529452
Coefficient of variation (CV)	0.29182706
Kurtosis	7.3778199
Mean	25.801075
Median Absolute Deviation (MAD)	2
Skewness	-1.4122356
Sum	4799
Variance	56.692647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
25	46	24.7%
30	30	16.1%
28	14	7.5%
24	14	7.5%
26	13	7.0%
0	10	5.4%
27	10	5.4%
35	6	3.2%
23	5	2.7%
22	4	2.2%
Other values (16)	34	18.3%

Value	Count	Frequency (%)
0	10	5.4%
19	1	0.5%
21	3	1.6%
22	4	2.2%
23	5	2.7%
23.5	3	1.6%
24	14	7.5%
24.5	3	1.6%
25	46	24.7%
25.5	3	1.6%

Value	Count	Frequency (%)
58	1	0.5%
50	1	0.5%
40	2	1.1%
35	6	3.2%
33	1	0.5%
32.5	2	1.1%
32	4	2.2%
30.5	1	0.5%
30	30	16.1%
29.5	1	0.5%

Financially constrained
Categorical

Distinct	3
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

no	82
maybe	64
yes	40

Length

Max length	5
Median length	3
Mean length	3.2473118
Min length	2

Characters and Unicode

Total characters	604
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	maybe
2nd row	maybe
3rd row	maybe
4th row	yes
5th row	maybe

Common Values

Value	Count	Frequency (%)
no	82	44.1%
maybe	64	34.4%
yes	40	21.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	82	44.1%
maybe	64	34.4%
yes	40	21.5%

Most occurring characters

Value	Count	Frequency (%)
e	104	17.2%
y	104	17.2%
n	82	13.6%
o	82	13.6%
a	64	10.6%
m	64	10.6%
b	64	10.6%
s	40	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	104	17.2%
y	104	17.2%
n	82	13.6%
o	82	13.6%
a	64	10.6%
m	64	10.6%
b	64	10.6%
s	40	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	104	17.2%
y	104	17.2%
n	82	13.6%
o	82	13.6%
a	64	10.6%
m	64	10.6%
b	64	10.6%
s	40	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	104	17.2%
y	104	17.2%
n	82	13.6%
o	82	13.6%
a	64	10.6%
m	64	10.6%
b	64	10.6%
s	40	6.6%

Family_income
Categorical

Distinct	6
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

3 - 7 lakhs	69
7 - 10 lakhs	31
below 3 lakhs	29
10 - 12 lakhs	23
15 lakhs above	22

Length

Max length	14
Median length	13
Mean length	12.951613
Min length	12

Characters and Unicode

Total characters	2409
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3 - 7 lakhs
2nd row	10 - 12 lakhs
3rd row	3 - 7 lakhs
4th row	3 - 7 lakhs
5th row	3 - 7 lakhs

Common Values

Value	Count	Frequency (%)
3 - 7 lakhs	69	37.1%
7 - 10 lakhs	31	16.7%
below 3 lakhs	29	15.6%
10 - 12 lakhs	23	12.4%
15 lakhs above	22	11.8%
12 - 15 lakhs	12	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
lakhs	186	26.8%
	135	19.5%
7	100	14.4%
3	98	14.1%
10	54	7.8%
12	35	5.1%
15	34	4.9%
below	29	4.2%
above	22	3.2%

Most occurring characters

Value	Count	Frequency (%)
	645	26.8%
l	215	8.9%
a	208	8.6%
s	186	7.7%
h	186	7.7%
k	186	7.7%
-	135	5.6%
1	123	5.1%
7	100	4.2%
3	98	4.1%
Other values (8)	327	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2409	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	645	26.8%
l	215	8.9%
a	208	8.6%
s	186	7.7%
h	186	7.7%
k	186	7.7%
-	135	5.6%
1	123	5.1%
7	100	4.2%
3	98	4.1%
Other values (8)	327	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2409	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	645	26.8%
l	215	8.9%
a	208	8.6%
s	186	7.7%
h	186	7.7%
k	186	7.7%
-	135	5.6%
1	123	5.1%
7	100	4.2%
3	98	4.1%
Other values (8)	327	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2409	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	645	26.8%
l	215	8.9%
a	208	8.6%
s	186	7.7%
h	186	7.7%
k	186	7.7%
-	135	5.6%
1	123	5.1%
7	100	4.2%
3	98	4.1%
Other values (8)	327	13.6%

Parent's occupation
Categorical

Distinct	12
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Business	68
Government Job	45
Teaching	13
Private Job	13
Retired	12
Other values (7)	35

Length

Max length	14
Median length	13
Mean length	9.5967742
Min length	5

Characters and Unicode

Total characters	1785
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Government Job
3rd row	Business
4th row	Business
5th row	Business

Common Values

Value	Count	Frequency (%)
Business	68	36.6%
Government Job	45	24.2%
Teaching	13	7.0%
Private Job	13	7.0%
Retired	12	6.5%
Other	11	5.9%
Unknown	7	3.8%
Legal Sector	5	2.7%
Finance	4	2.2%
Engineering	4	2.2%
Other values (2)	4	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
business	68	27.1%
job	58	23.1%
government	45	17.9%
teaching	13	5.2%
private	13	5.2%
retired	12	4.8%
other	11	4.4%
unknown	7	2.8%
sector	7	2.8%
legal	5	2.0%
Other values (4)	12	4.8%

Most occurring characters

Value	Count	Frequency (%)
e	249	13.9%
n	212	11.9%
s	204	11.4%
o	119	6.7%
i	118	6.6%
r	94	5.3%
t	90	5.0%
B	68	3.8%
u	68	3.8%
	65	3.6%
Other values (23)	498	27.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1785	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	249	13.9%
n	212	11.9%
s	204	11.4%
o	119	6.7%
i	118	6.6%
r	94	5.3%
t	90	5.0%
B	68	3.8%
u	68	3.8%
	65	3.6%
Other values (23)	498	27.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1785	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	249	13.9%
n	212	11.9%
s	204	11.4%
o	119	6.7%
i	118	6.6%
r	94	5.3%
t	90	5.0%
B	68	3.8%
u	68	3.8%
	65	3.6%
Other values (23)	498	27.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1785	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	249	13.9%
n	212	11.9%
s	204	11.4%
o	119	6.7%
i	118	6.6%
r	94	5.3%
t	90	5.0%
B	68	3.8%
u	68	3.8%
	65	3.6%
Other values (23)	498	27.9%

Spending
Real number (ℝ)

Missing

Distinct	33
Distinct (%)	21.2%
Missing	30
Missing (%)	16.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.606359

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	1.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	20
Maximum	100
Range	100
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	10.173088
Coefficient of variation (CV)	1.3374452
Kurtosis	45.060846
Mean	7.606359
Median Absolute Deviation (MAD)	3.5
Skewness	5.5543568
Sum	1186.592
Variance	103.49173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
10	22	11.8%
1	19	10.2%
2	13	7.0%
4	12	6.5%
5	10	5.4%
20	10	5.4%
15	8	4.3%
3.5	6	3.2%
3	6	3.2%
6	6	3.2%
Other values (23)	44	23.7%
(Missing)	30	16.1%

Value	Count	Frequency (%)
0	1	0.5%
0.1	1	0.5%
0.4	1	0.5%
0.5	3	1.6%
1	19	10.2%
1.092	1	0.5%
1.5	4	2.2%
2	13	7.0%
2.5	5	2.7%
3	6	3.2%

Value	Count	Frequency (%)
100	1	0.5%
50	1	0.5%
30	1	0.5%
25	1	0.5%
22.5	1	0.5%
20	10	5.4%
17.5	1	0.5%
15	8	4.3%
13.5	1	0.5%
12.5	1	0.5%

parents_influence
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

3	48
5	48
4	40
1	37
2	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	5
4th row	4
5th row	3

Common Values

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

Most occurring characters

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	48	25.8%
5	48	25.8%
4	40	21.5%
1	37	19.9%
2	13	7.0%

friend_influence
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

1	71
3	37
2	31
4	31
5	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	5
5th row	1

Common Values

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

Most occurring characters

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	71	38.2%
3	37	19.9%
2	31	16.7%
4	31	16.7%
5	16	8.6%

mentor_influence
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

1	41
5	40
4	38
2	35
3	32

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	4
4th row	5
5th row	1

Common Values

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

Most occurring characters

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	41	22.0%
5	40	21.5%
4	38	20.4%
2	35	18.8%
3	32	17.2%

social_expectations
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

1	54
3	48
4	32
5	29
2	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	4
3rd row	3
4th row	5
5th row	4

Common Values

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

Most occurring characters

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	54	29.0%
3	48	25.8%
4	32	17.2%
5	29	15.6%
2	23	12.4%

social_media_influence
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

1	61
3	39
2	35
4	28
5	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	5
5th row	3

Common Values

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

Most occurring characters

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	61	32.8%
3	39	21.0%
2	35	18.8%
4	28	15.1%
5	23	12.4%

personal_choice
Categorical

Distinct	5
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

5	85
4	47
3	28
2	14
1	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	186
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	2
3rd row	4
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Most occurring characters

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	85	45.7%
4	47	25.3%
3	28	15.1%
2	14	7.5%
1	12	6.5%

Interactions

Correlations

	Age	Age Group	CGPA	Degree	Expected_salary	Family_income	Favorite_Subject_10	Favorite_Subject_12	Financially constrained	Gender	Marks_10	Marks_12	Parent's occupation	Percent_10	Percent_12	Spending	Subject	df_index	friend_influence	mentor_influence	parents_influence	personal_choice	preffed sector	social_expectations	social_media_influence
Age	1.000	0.000	0.081	0.000	-0.104	0.000	0.282	0.000	0.000	0.140	0.173	0.063	0.193	0.000	0.029	0.211	0.451	0.240	0.000	0.000	0.000	0.157	0.000	0.000	0.048
Age Group	0.000	1.000	0.204	0.452	0.000	0.109	0.000	0.000	0.062	0.091	0.027	0.164	0.144	0.000	0.100	0.088	0.212	0.000	0.180	0.000	0.162	0.019	0.000	0.086	0.000
CGPA	0.081	0.204	1.000	0.165	0.047	0.040	0.000	0.000	0.000	0.000	0.316	0.387	0.000	0.231	0.252	-0.015	0.000	0.099	0.000	0.026	0.000	0.000	0.076	0.093	0.081
Degree	0.000	0.452	0.165	1.000	0.000	0.000	0.000	0.415	0.028	0.121	0.278	0.152	0.089	0.242	0.413	0.183	0.697	0.131	0.093	0.158	0.000	0.217	0.105	0.116	0.141
Expected_salary	-0.104	0.000	0.047	0.000	1.000	0.000	0.000	0.000	0.075	0.000	0.298	0.148	0.000	0.000	0.000	0.081	0.000	0.183	0.000	0.135	0.129	0.097	0.000	0.000	0.000
Family_income	0.000	0.109	0.040	0.000	0.000	1.000	0.000	0.136	0.214	0.000	0.085	0.000	0.062	0.165	0.000	0.153	0.106	0.000	0.000	0.153	0.151	0.000	0.096	0.000	0.098
Favorite_Subject_10	0.282	0.000	0.000	0.000	0.000	0.000	1.000	0.368	0.000	0.000	0.416	0.000	0.171	0.256	0.000	0.397	0.273	0.110	0.000	0.000	0.120	0.046	0.000	0.081	0.132
Favorite_Subject_12	0.000	0.000	0.000	0.415	0.000	0.136	0.368	1.000	0.000	0.260	0.507	0.000	0.306	0.324	0.000	0.073	0.295	0.164	0.000	0.000	0.000	0.026	0.366	0.000	0.000
Financially constrained	0.000	0.062	0.000	0.028	0.075	0.214	0.000	0.000	1.000	0.025	0.132	0.186	0.000	0.000	0.101	0.000	0.148	0.096	0.147	0.086	0.074	0.185	0.138	0.000	0.000
Gender	0.140	0.091	0.000	0.121	0.000	0.000	0.000	0.260	0.025	1.000	0.038	0.000	0.000	0.000	0.054	0.000	0.000	0.683	0.000	0.000	0.085	0.000	0.000	0.000	0.028
Marks_10	0.173	0.027	0.316	0.278	0.298	0.085	0.416	0.507	0.132	0.038	1.000	0.389	0.141	0.466	0.302	0.173	0.000	0.195	0.000	0.000	0.000	0.014	0.244	0.058	0.000
Marks_12	0.063	0.164	0.387	0.152	0.148	0.000	0.000	0.000	0.186	0.000	0.389	1.000	0.000	0.242	0.545	0.061	0.000	0.082	0.089	0.000	0.000	0.000	0.065	0.000	0.072
Parent's occupation	0.193	0.144	0.000	0.089	0.000	0.062	0.171	0.306	0.000	0.000	0.141	0.000	1.000	0.000	0.000	0.000	0.000	0.066	0.052	0.096	0.086	0.000	0.283	0.028	0.101
Percent_10	0.000	0.000	0.231	0.242	0.000	0.165	0.256	0.324	0.000	0.000	0.466	0.242	0.000	1.000	0.290	0.000	0.242	0.050	0.000	0.068	0.045	0.000	0.000	0.000	0.000
Percent_12	0.029	0.100	0.252	0.413	0.000	0.000	0.000	0.000	0.101	0.054	0.302	0.545	0.000	0.290	1.000	0.000	0.254	0.161	0.064	0.091	0.000	0.000	0.000	0.036	0.000
Spending	0.211	0.088	-0.015	0.183	0.081	0.153	0.397	0.073	0.000	0.000	0.173	0.061	0.000	0.000	0.000	1.000	0.488	0.180	0.000	0.058	0.132	0.000	0.000	0.049	0.000
Subject	0.451	0.212	0.000	0.697	0.000	0.106	0.273	0.295	0.148	0.000	0.000	0.000	0.000	0.242	0.254	0.488	1.000	0.158	0.000	0.041	0.000	0.207	0.108	0.000	0.000
df_index	0.240	0.000	0.099	0.131	0.183	0.000	0.110	0.164	0.096	0.683	0.195	0.082	0.066	0.050	0.161	0.180	0.158	1.000	0.087	0.039	0.000	0.000	0.000	0.061	0.054
friend_influence	0.000	0.180	0.000	0.093	0.000	0.000	0.000	0.000	0.147	0.000	0.000	0.089	0.052	0.000	0.064	0.000	0.000	0.087	1.000	0.261	0.215	0.115	0.177	0.127	0.228
mentor_influence	0.000	0.000	0.026	0.158	0.135	0.153	0.000	0.000	0.086	0.000	0.000	0.000	0.096	0.068	0.091	0.058	0.041	0.039	0.261	1.000	0.242	0.124	0.000	0.062	0.131
parents_influence	0.000	0.162	0.000	0.000	0.129	0.151	0.120	0.000	0.074	0.085	0.000	0.000	0.086	0.045	0.000	0.132	0.000	0.000	0.215	0.242	1.000	0.168	0.075	0.136	0.131
personal_choice	0.157	0.019	0.000	0.217	0.097	0.000	0.046	0.026	0.185	0.000	0.014	0.000	0.000	0.000	0.000	0.000	0.207	0.000	0.115	0.124	0.168	1.000	0.144	0.127	0.173
preffed sector	0.000	0.000	0.076	0.105	0.000	0.096	0.000	0.366	0.138	0.000	0.244	0.065	0.283	0.000	0.000	0.000	0.108	0.000	0.177	0.000	0.075	0.144	1.000	0.094	0.121
social_expectations	0.000	0.086	0.093	0.116	0.000	0.000	0.081	0.000	0.000	0.000	0.058	0.000	0.028	0.000	0.036	0.049	0.000	0.061	0.127	0.062	0.136	0.127	0.094	1.000	0.260
social_media_influence	0.048	0.000	0.081	0.141	0.000	0.098	0.132	0.000	0.000	0.028	0.000	0.072	0.101	0.000	0.000	0.000	0.000	0.054	0.228	0.131	0.131	0.173	0.121	0.260	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	df_index	Age Group	Gender	College Name	Degree	Subject	Percent_10	Favorite_Subject_10	Marks_10	Percent_12	Favorite_Subject_12	Marks_12	CGPA	co-curricular activity	profession	preffed sector	Expected_salary	Age	Financially constrained	Family_income	Parent's occupation	Spending	parents_influence	friend_influence	mentor_influence	social_expectations	social_media_influence	personal_choice
0	0	18 - 20	f	institute of engineering and management	bba	analytics	85.0	biology	97.0	75.0	biology	99.0	8.0	no	data analyst	NaN	NaN	0.0	maybe	3 - 7 lakhs	Unknown	NaN	3	1	1	1	1	5
1	1	20 - 22	f	institute of engineering and management	bba	finance	85.0	mathematics	99.0	75.0	economics	80.0	9.0	content writing	financial services	government/public sector	3.5	28.0	maybe	10 - 12 lakhs	Government Job	10.0	4	1	3	4	2	2
2	2	18 - 20	f	asutosh college	b.sc / bs	statistics	85.0	mathematics	98.0	85.0	mathematics	86.0	6.0	dance	chartered accountant	undecided	8.0	25.0	maybe	3 - 7 lakhs	Business	2.5	5	2	4	3	1	4
3	3	18 - 20	f	sister nivedita university	ba	political science	95.0	socialscience	94.0	85.0	politicalscience	87.0	7.0	not right now	entrepreneurship	corporate/private sector	2.0	0.0	yes	3 - 7 lakhs	Business	NaN	4	5	5	5	5	4
4	4	20 - 22	f	sister nivedita university	msc / ms	psychology	65.0	maths	60.0	65.0	accounts	65.0	7.0	no	chartered accountant	it secrtor	0.5	27.0	maybe	3 - 7 lakhs	Business	10.0	3	1	1	4	3	5
5	5	20 - 22	f	sister nivedita university	ma	english	75.0	english	81.0	75.0	english	87.0	6.0	dance	chartered accountant	n.q.	6.0	28.0	no	3 - 7 lakhs	Finance	1.0	5	5	5	4	4	5
6	6	20 - 22	f	sister nivedita university	ma	english	55.0	english	82.0	65.0	english	72.0	8.0	no	professor	academia/education	3.5	28.5	maybe	below 3 lakhs	Business	NaN	1	1	1	5	1	5
7	7	20 - 22	f	sister nivedita university	ma	english	75.0	english	82.0	85.0	english	88.0	6.0	no	professor	it secrtor	13.0	25.0	no	below 3 lakhs	Business	2.0	5	1	2	3	2	4
8	8	20 - 22	f	sister nivedita university	ba	english	85.0	science	80.0	75.0	english	80.0	8.0	no	professor	corporate/private sector	3.5	25.0	yes	3 - 7 lakhs	Other	2.0	5	1	2	5	2	3
9	9	22 - 25	f	university of calcutta	m com.	accountancy	85.0	science	87.0	85.0	accountancy	92.0	8.0	karate	commercial undecideds	government/public sector	8.5	0.0	no	3 - 7 lakhs	Business	NaN	2	1	3	1	1	5

	df_index	Age Group	Gender	College Name	Degree	Subject	Percent_10	Favorite_Subject_10	Marks_10	Percent_12	Favorite_Subject_12	Marks_12	CGPA	co-curricular activity	profession	preffed sector	Expected_salary	Age	Financially constrained	Family_income	Parent's occupation	Spending	parents_influence	friend_influence	mentor_influence	social_expectations	social_media_influence	personal_choice
176	182	20 - 22	m	techno india university	b tech.	computer science engineering	95.0	mathematics	98.0	95.0	NaN	NaN	8.0	dance, acting, football	actor	creative fields	NaN	0.0	yes	7 - 10 lakhs	Government Job	6.0	5	5	2	5	5	1
177	183	18 - 20	m	asutosh college	ba	mass com	55.0	english	91.0	75.0	bstd	82.0	6.0	football, anchoring	entrepreneurship	government/public sector	11.5	24.0	maybe	7 - 10 lakhs	Government Job	NaN	1	3	1	5	4	4
178	184	20 - 22	m	institute of engineering and management	bba	management	75.0	maths	96.0	85.0	computerscience	97.0	9.0	graphics designer	entrepreneurship	undecided	4.0	30.0	yes	10 - 12 lakhs	Other	20.0	3	3	2	1	2	4
179	185	20 - 22	m	ipgmer	bpt	physiotherapy	95.0	science	97.0	95.0	physics	85.0	9.0	sports	entrepreneurship	government/public sector	20.0	28.0	no	3 - 7 lakhs	Teaching	20.0	5	1	5	1	1	5
180	186	18 - 20	m	st xaviers university	llb	NaN	75.0	politicalscience	82.0	85.0	economics	88.0	7.0	no	litigation	government/public sector	6.5	30.0	no	15 lakhs above	Legal Sector	10.0	5	2	3	5	4	4
181	187	18 - 20	m	institute of engineering and management	b tech.	computer science engineering	95.0	sst	95.0	75.0	english	92.0	0.0	no	investment banker	undecided	6.5	40.0	maybe	3 - 7 lakhs	Other	10.0	5	1	1	3	1	3
182	188	18 - 20	m	university of engineering and management	b tech.	computer science engineering	85.0	mathematics	97.0	75.0	biology	85.0	0.0	sport	artificial intelligence	it secrtor	10.0	24.0	maybe	below 3 lakhs	Business	6.0	4	4	5	5	3	4
183	189	20 - 22	m	vivekananda college thakurpukur	b.sc / bs	geography	75.0	geography	80.0	95.0	geography	99.0	7.0	NaN	gis analyst	government/public sector	2.5	28.0	no	below 3 lakhs	Retired	7.5	1	1	2	1	1	5
184	190	18 - 20	m	st thomas college of engineering and technology	b tech.	information technology	95.0	mathematics	100.0	85.0	science	97.0	8.0	NaN	software development engineer	it secrtor	8.5	35.0	no	15 lakhs above	Private Job	4.5	4	2	1	3	4	5
185	191	18 - 20	o	jadavpur university	ba	english	95.0	biology	100.0	95.0	psychology	98.0	6.0	music/writing	undecided	government/public sector	4.0	27.0	maybe	3 - 7 lakhs	Government Job	1.0	3	2	4	3	4	5

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category